NIST AI Risk Management Framework (AI RMF 1.0)vsSingapore AI Governance Framework
See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to Singapore AI Governance Framework. Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
NIST AI Risk Management Framework (AI RMF 1.0) maps to Singapore AI Governance Framework with 21% coverage across 11 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 41 compliance gaps — primarily concentrated in Measure.
Source: TheArtOfService Knowledge Graph | 52 controls analysed | 726 frameworks | 455K+ cross-framework mappings
Control Mappings
Showing 20 of 23 mapped controls across 4 domains. Sign up to explore all 455K+ mappings across 726 frameworks.
Govern(11 mappings)
Manage(4 mappings)
Map(4 mappings)
Measure(1 mappings)
+3 more mappings
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Related Comparisons
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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and Singapore AI Governance Framework?
NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while Singapore AI Governance Framework covers 44 controls. Direct mapping analysis identifies 11 overlapping controls (21% coverage). The frameworks diverge most significantly in Measure, where 12 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct Singapore AI Governance Framework equivalent.
How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and Singapore AI Governance Framework?
Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 11 map directly to Singapore AI Governance Framework controls — representing 21% coverage. The remaining 41 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping NIST AI Risk Management Framework (AI RMF 1.0) to Singapore AI Governance Framework?
41 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in Singapore AI Governance Framework. The highest concentration of gaps is in Measure with 12 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.
Which control domains have the most gaps between NIST AI Risk Management Framework (AI RMF 1.0) and Singapore AI Governance Framework?
The domain with the highest gap count is Measure (12 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
Related Resources
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